A simple movie recommendation system which recommends similar movies based on the plot of a given movie

This repository represents several projects completed in IE HST's MS in Business Analytics and Big Data program, Recommendation Engines course.

🎥 Uses content based filtering and weighted average

This repository contains introductory notebooks for recommendation system.

Recommend movies to users based on their previous movie ratings Based on previous activities or explicit feedback, content-based filtering recommends other items similar to what the user likes.

web information retrieval

This is my course project for CS578

A saas based application to recommend movies

AFFY (A Film For You) is a Content-Based recommender system for movies

A system that uses content-based recommendation algorithm to recommend movies to users based on their interaction.

This is Content based music recommendation system. I have used both audio features and lyrics (text based) features for recommending most similar songs to a given query song.

This Python-based project recommends e-learning courses based on user preferences and course similarities. It utilizes natural language processing (NLP) techniques for accurate course suggestions. It is an end-to-end project with its seamless frontend build on React

A MEAN stack application that provides recent news stories to users using combined recommendation technique (content based & collaborative filtering) and IBM Natural Language Understanding

Movie recommendation system based on hybrid recommender and clustering

Movie recommendation app using content-based filtering. Data provided by TMDb.

Exploring content based e-book recommendations using a subset of full text data taken from Gutenberg.

Implementing several most used Recommendation Algorithms (Rank based algorithms, User-User based Collaborative Filtering, Matrix Factorization and Content Based).

An end-to-end content-based TMDB movie recommendation engine developed using PySpark, Flask, and Angular.

This is a book analysis and recommendation system made in python and by using django framework, KNN, TF-IDF algorithm